THE MULTI LEVEL SINGLE LINKAGE METHOD FOR UNCONSTRAINED AND CONSTRAINED GLOBAL OPTIMIZATION

The more successful methods for unconstrained global optimization of an arbitrary multimodal objective function are of a stochastic nature and involve a combination of sampling and local search techniques. In this class, the recently developed Multi Level Single Linkage method combines attractive theoretical properties with excellent computational properties. We describe this method below, and discuss its computational behaviour and its extension to constrained global optimization.


Issue Date:
1985
Publication Type:
Working or Discussion Paper
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/272327
Language:
English
Total Pages:
20
Series Statement:
REPORT 8537/A




 Record created 2018-04-30, last modified 2020-10-28

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